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Natural Language Processing Analyst Jobs (NOW HIRING)

Leads structuring data, natural language processing, database technologies, and machine learning algorithms. * Ability to translate complex, technical, or analytic findings into an easily understood ...

Leads structuring data, natural language processing, database technologies, and machine learning algorithms. * Ability to translate complex, technical, or analytic findings into an easily understood ...

... analysis on social media and survey data. • Develop models for text and author data using well ... Required : • 6+ of software industry experience in Data Science or Natural Language Processing ...

Apply natural language processing techniques to improve text analytics * Participate in client support activities addressing data and technology challenges * Work with stakeholders across internal ...

... natural language processing, large language models, machine learning, and knowledge graph ... They will be expected to gather and analyze data from multiple structured and unstructured data ...

... natural language processing, large language models, machine learning, and knowledge graph ... They will be expected to gather and analyze data from multiple structured and unstructured data ...

... Natural Language Understanding (NLU), and Natural Language Processing (NLP). This role involves technical and functional analysis and design to improve our customer interaction tools. Key ...

Apply basic knowledge of natural language processing and linguistics to data processing tasks ... Strong analytical skills with the ability to identify patterns and anomalies. Additional ...

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Natural Language Processing Analyst information

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$76

How much do natural language processing analyst jobs pay per hour?

As of Sep 11, 2026, the average hourly pay for natural language processing analyst in the United States is $38.84, according to ZipRecruiter salary data. Most workers in this role earn between $28.37 and $45.67 per hour, depending on experience, location, and employer.

What is a natural language processing analyst?

A Natural Language Processing (NLP) Analyst is a professional who specializes in using computational techniques to analyze and interpret human language data. They work with large volumes of text or speech data to extract meaningful insights, build language models, and develop applications such as chatbots or sentiment analysis tools. NLP Analysts often collaborate with data scientists, linguists, and software engineers to improve language-based systems and enhance user interactions. Their work is essential in fields like artificial intelligence, customer service automation, and information retrieval.

How does a natural language processing analyst typically collaborate with cross-functional teams on projects?

Natural Language Processing Analysts often work closely with data scientists, software engineers, and product managers to design and implement language-based solutions. They may be responsible for translating project requirements into technical specifications, sharing insights from text data analysis, and ensuring that NLP models align with business objectives. Regular communication and teamwork are essential, as NLP Analysts provide expertise on linguistic challenges and help integrate their models into broader applications. This collaborative environment fosters both technical growth and a deep understanding of the business context.

What are the key skills and qualifications needed to thrive as a natural language processing analyst, and why are they important?

To thrive as a Natural Language Processing Analyst, you need a solid background in linguistics, statistics, and computer science, often supported by a degree in a related field and experience with NLP concepts. Proficiency with programming languages like Python, machine learning frameworks (such as TensorFlow or PyTorch), and NLP libraries (like NLTK or spaCy) is essential, as is familiarity with data annotation and processing tools. Strong analytical thinking, problem-solving abilities, and effective communication skills help you interpret results and collaborate with cross-functional teams. These skills ensure accurate model development, efficient data handling, and the translation of complex findings into actionable insights for organizational success.

What is the difference between Natural Language Processing Analyst vs Data Scientist?

AspectNatural Language Processing AnalystData Scientist
Required CredentialsBachelor's in Computer Science, Data Science, or related field; familiarity with NLP toolsBachelor's or higher in Computer Science, Statistics, or related; often with advanced certifications
Work EnvironmentTech companies, research labs, or AI-focused teamsVarious industries including finance, healthcare, tech; broader scope
Employer & Industry UsagePrimarily in AI, NLP, and language-focused projectsAcross data-driven sectors, including analytics and machine learning
Common Search & Comparison IntentUnderstanding specific NLP roles vs broader data analysis roles

The Natural Language Processing Analyst specializes in developing and implementing NLP models to analyze language data, while a Data Scientist has a broader focus on analyzing various data types to inform business decisions. Both roles require strong technical skills, but NLP Analysts focus more on language-specific tasks within AI projects.

What cities are hiring for Natural Language Processing Analyst jobs?

Cities with the most Natural Language Processing Analyst job openings:

What states have the most Natural Language Processing Analyst jobs?

States with the most job openings for Natural Language Processing Analyst jobs include:

What are popular job titles related to Natural Language Processing Analyst jobs?

For Natural Language Processing Analyst jobs, the most frequently searched job titles are:

Infographic showing various Natural Language Processing Analyst job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 20% Part Time, 1% Temporary, and 4% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution, with an average salary of $80,791 per year, or $38.8 per hour.

Healthcare (HC) Data Analyst

Bethesda, MD

Full-time

Re-posted 3 days ago


Job description

Amentum provides a range of Department of Defense, Intelligence Community, and Commercial analytic and operational support, risk analysis, analytic outreach, red teaming, and event support services. We pride ourselves in developing creative, customized, and flexible approaches that meet our clients' evolving and dynamic needs.

Amentum is seeking a Human Capital Data Analyst - Senior. This position is to build a pipeline for future work and is not a live opening.

The following categories shall pose the necessary skills and disciplines to assist the varying tasks. Responsibilities and duties listed below are not mutually exclusive.

Desired Knowledge, Skills and Abilities:

  • Provides Data Analytic support for HC surveys (eg Lime Survey) and data calls
  • Leads structuring data, natural language processing, database technologies, and machine learning algorithms.
  • Ability to translate complex, technical, or analytic findings into an easily understood narrative - tell a story with the data in graphical, verbal, or written form.
  • Uses analytical software to support quantitative and analytic efforts and workforce planning, including engagement with the Intelligence Community.
  • Coordinates within government and across the IC for survey data
  • Uses data tools such as Python, conduct R analysis, SPSS, display results via Tableau
  • Interfaces with government stakeholders within HC, HRM), 18 IC Agencies CHCOs, other task order PMs and DEIA Lead

Required Skills and Abilities:

  • TS/SCI security clearance is required.
  • Senior level experience with HR-related Data Analytics, to include support for HC surveys (eg Lime Survey) and data calls, structuring data, natural language processing, database technologies, and machine learning algorithms.
  • Ability to translate complex, technical, or analytic findings into an easily understood narrative - tell a story with the data in graphical, verbal, or written form.
  • Uses analytical software to support quantitative and analytic efforts and workforce planning, including engagement with the Intelligence Community.
  • Highly proficient with data tools such as Python, conduct R analysis, SPSS, display results via Tableau.
  • Excellent oral and written communications skills and expertise with MS Office tool suite.